Contact
 Email: | ahmedeqbal [at] gmail.com |
 Phone: | +92 51 4863363-219 |
 Office: | Street # 09, Plot # 67 Sector H-8/4 Islamabad, Pakistan |
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 Google Scholar |
 Github |
About Me
Ahmed Iqbal is a highly accomplished individual with a strong educational background. He obtained his Bachelor's and Master's degrees in Computer Science from the Virtual University of Pakistan, Lahore, in 2016 and 2019, respectively. Ahmed has completed his Ph.D. degree under the supervision of Prof. Dr. Muhammad Sharif. He has gained valuable experience throughout his career, particularly in the areas of working with large datasets, developing predictive models, and implementing machine learning solutions to enhance business operations and drive growth. He possesses expertise in programming languages such as Python, R, and SQL, and he is proficient in utilizing deep learning frameworks like TensorFlow and PyTorch. In addition to his technical skills, Ahmed is known for his strong teamwork and effective communication abilities. He collaborates seamlessly with cross-functional teams to identify business requirements, design experiments, and create innovative solutions. Ahmed maintains a deep passion for staying up-to-date with the latest advancements in machine learning, consistently seeking opportunities to apply these techniques to solve complex problems. Currently, Ahmed serves as a Research Associate in the Predictive Analytics Lab at the National Center for Big Data & Cloud Computing (NCBC). In this role, he contributes his expertise and plays a crucial part in the organization's endeavors.
Publications
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Memory-efficient transformer network with feature fusion for breast tumor segmentation and classification task
Ahmed Iqbal, Muhammad Sharif
Engineering Applications of Artificial Intelligence (Impact Factor: 8.0)
[ Paper, Code ] -
Tuberculosis chest X-ray detection using CNN-based hybrid segmentation and classification approach
Ahmed Iqbal, Muhammad Usman, and Zohair Ahmed
Elsevier - Biomedical Signal Processing and Control (Impact Factor: 5.0)
[ Paper, Code ] -
PDF-UNet: A semi-supervised method for segmentation of breast tumor images using a U-shaped pyramid-dilated network
Ahmed Iqbal, Muhammad Sharif
Elsevier - Expert Systems with Applications (Impact Factor: 8.6)
[ Paper, Code ] -
BTS-ST: Swin transformer network for segmentation and classification of multimodality breast cancer images
Ahmed Iqbal, Muhammad Sharif
Elsevier - Knowledge-Based Systems (Impact Factor: 8.1)
[ Paper] -
MDA-Net: Multiscale dual attention-based network for breast lesion segmentation using ultrasound images
Ahmed Iqbal, Muhammad Sharif
Elsevier - Journal of King Saud University-Computer and Information Sciences (Impact Factor: 13.4)
[ Paper, Code ] -
An efficient deep learning-based framework for tuberculosis detection using chest X-ray images
Ahmed Iqbal, Muhammad Usman, and Zohair Ahmed
Elsevier - Tuberculosis (Impact Factor: 2.9)
[ Paper] -
Generative adversarial networks and its applications in the biomedical image segmentation: a comprehensive survey
Ahmed Iqbal, Muhammad Sharif, Mussarat Yasmin, Mudassar Raza, and Shabib Aftab
Springer - International Journal of Multimedia Information Retrieval (Impact Factor: 2.5)
[ Paper] -
FF-UNet: a U-Shaped Deep Convolutional Neural Network for Multimodal Biomedical Image Segmentation
Ahmed Iqbal, Muhammad Sharif, Muhammad Attique Khan, Wasif Nisar, and Majed Alhaisoni
Springer - Cognitive Computation (Impact Factor: 4.8)
[ Paper, Code ]
Services
- Reviewer, Computer Methods in Biomechanics and Biomedical Engineerings - Taylor & Francis
- Reviewer, Computer Systems Science and Engineering - Tech Science Press
- Reviewer, IEEE Transactions on Neural Networks and Learning Systems
- Reviewer, Engineering Applications of Artificial Intelligence - Elsevier
- Reviewer, Computers, Materials & Continua - Tech Science Press
- Reviewer, International Journal of Intelligent Systems - Hindawi
- Reviewer, Human-centric Computing and Information Sciences
- Reviewer, Journal of Biomedical and Health Informatics
- Reviewer, Complex & Intelligent Systems - Springer
- Reviewer, Artificial Intelligence Review - Springer
- Reviewer, Journal of Digital Imaging - Springer
- Reviewer, Applied Soft Computing - Elsevier
- Reviewer, The Visual Computer - Springer
- Reviewer, Digital Health - Sage Journals
- Reviewer, Scientific Reports - Nature
- Reviewer, Cancer Medicine - Wiley
- Reviewer, IEEE Network Magazine
- Reviewer, Brain-X - Wiley Journal
Recent Updates
- [11/2023] Serving as Reviewer in Applied Soft Computing - Elsevier
- [11/2023] Serving as Reviewer in Engineering Applications of Artificial Intelligence - Elsevier
- [10/2023] MET-Net Transfomer Paper is accpted on Engineering Applications of Artificial Intelligence
- [06/2023] Serving as Reviewer in Scientific Reports - Nature
- [06/2023] Serving as Reviewer in IEEE Transactions on Neural Networks and Learning Systems
- [06/2023] Serving as Reviewer in Artificial Intelligence Review - Springer
- [02/2023] Serving as Reviewer in IEEE Network Magazine
- [02/2023] PDF-UNet Paper is accpted & published on Journal of Expert Systems with Applications
- [02/2023] BTS-ST Transfomer Paper is accpted & published on Journal of Knowledge-Based Systems
- [02/2023] TB-Dense Net Paper is accpted & published on Journal of Biomedical Signal Processing and Control
- [12/2022] Attended National Center in Big Data and Cloud Computing (NCBC) three days conference, Lahore, 2022.
- [09/2022] TBXNet Paper is accpted & published on Journal of Tuberculosis
- [06/2022] FF-UNet Paper is accpted & published on Journal of Cognitive Computation
- [05/2022] Presented Ph.D Thesis in Pre-PhD seminar before Ph.D Thesis submission.
- [03/2022] Attended COMSATS University, Islamabad, AI Industrial Meetup, 2022.
- [10/2021] MDA-Net Paper is accpted & published on Journal of King Saud University - Computer and Information Sciences
- [08/2021] Passed Ph.D. Comprehensive and moved to candidacy.
- [09/2021] Joined Predictive Analytics Lab as Research Associate
- [02/2020] Started Ph. D. at the COMSATS University, Islamabad
Undergraduate Projects Supervisions
- Nauman Iftikhar (1812134), Hira Adnan (1812115), "A Robust Scheme for Detection of Lung Diseases Using Deep Learning", 2022, SZABIST, Islamabad
- Asim Qamar (1880145), Muhammad Sayyam Khan (1880126), "Diagnosis of Tuberculosis by using Deep Learning Convolutional Neural Network", 2022, SZABIST, Islamabad
- Saqib Amin (1912273), Sajjad Karim (1912272), Zain Habib (1912283) "Diagnosis of Pneumonia by using DL CNN", 2023, SZABIST, Islamabad
Teaching
I have a passion for teaching and a deep interest in instructing the following courses:
- Digital Image Processing
- Machine Learning
- Deep learning